Prediction of ER long-stroke damper response: model updating methods

Neil D. Sims; Roger Stanway; C. X. Wong

doi:10.1117/12.472666

27 June 2002 Prediction of ER long-stroke damper response: model updating methods

Neil D. Sims, Roger Stanway, C. X. Wong

Proceedings Volume 4697, Smart Structures and Materials 2002: Damping and Isolation; (2002) https://doi.org/10.1117/12.472666
Event: SPIE's 9th Annual International Symposium on Smart Structures and Materials, 2002, San Diego, California, United States

Abstract

Smart fluid devices are now seen as an attractive solution to vibration damping problems. They offer superior performance compared to passive devices, without involving the cost, weight and complexity of fully active damping strategies. However, the inherent non-linearity of smart fluid dampers makes it difficult to fully exploit their capabilities, due the problems in applying an effective control strategy. In the past much of the research focused on complex controllers involving techniques such as neural networks and fuzzy logic. In recent years, however, an alternative approach has been adopted, whereby classical control techniques are used to linearise the damper's response. As a result some applications for smart fluid damping now use combinations of proportional, integral, or derivative control methods. However, it appears that these controllers can become unstable in much the same way as for a truly linear system. In order to investigate this instability it is suggested that a sufficiently accurate model of the damper's response is required, so that the onset of instability can be reproduced numerically. In this contribution, a model updating technique is described whereby an existing ER damper model is updated in line with experimental data. The paper begins with an overview of the experimental test facility and the modeling approach. The updating algorithm is then described, and it is shown how the updated model improves significantly on the accuracy of the model predictions.

Citation Download Citation

Neil D. Sims, Roger Stanway, and C. X. Wong "Prediction of ER long-stroke damper response: model updating methods", Proc. SPIE 4697, Smart Structures and Materials 2002: Damping and Isolation, (27 June 2002); https://doi.org/10.1117/12.472666

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